Wei Jiang

33 papers A* 3A 2C 1Misc 2Journal 20Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
IEEE Trans. Ind. Electron.
Yihe Yang, Yue Jiang, Wenyu Cao, Cong Li, Wei Jiang, Hangjie Mo, Xiaojian Li, Xin Xu, Xinglong Zhang
2026 J jnl
CoRR
Wei Jiang, Tong Chen, Wei Yuan, Quoc Viet Hung Nguyen, Hongzhi Yin
2026 J jnl
IEEE Trans. Artif. Intell.
Xinglong Zhang, Cong Li, Ronghua Zhang, Quan Xiong, Wei Jiang, Xin Xu
2025 A* conf
WWW
Wei Jiang, Tong Chen, Xinyi Gao, Wentao Zhang, Lizhen Cui, Hongzhi Yin
2025 A* conf
ICDM
Wei Jiang, Tong Chen, Wei Yuan, Xiangyu Zhao, Quoc Viet Hung Nguyen, Hongzhi Yin
2025 J jnl
CoRR
Wei Jiang, Tong Chen, Wei Yuan, Xiangyu Zhao, Quoc Viet Hung Nguyen, Hongzhi Yin
2024 A* conf
WWW
Wei Jiang, Xinyi Gao, Guandong Xu, Tong Chen, Hongzhi Yin
2024 J jnl
CoRR
Wei Jiang, Xinyi Gao, Guandong Xu, Tong Chen, Hongzhi Yin
2024 J jnl
CoRR
Yufan Zheng, Wei Jiang, Alexander Zhou, Nguyen Quoc Viet Hung, Choujun Zhan, Tong Chen
2024 J jnl
CoRR
Wei Jiang, Tong Chen, Xinyi Gao, Wentao Zhang, Lizhen Cui, Hongzhi Yin
2024 J jnl
CoRR
Xinyi Gao, Junliang Yu, Wei Jiang, Tong Chen, Wentao Zhang, Hongzhi Yin
2024 conf
ICONIP (7)
Yuxuan He, Haibin Xie, Junheng Liu, Wei Jiang, Xinglong Zhang, Xin Xu
2024 A conf
CIKM
Wei Jiang, Tong Chen, Guanhua Ye, Wentao Zhang, Lizhen Cui, Zi Huang, Hongzhi Yin
2024 J jnl
CoRR
Wei Jiang, Tong Chen, Guanhua Ye, Wentao Zhang, Lizhen Cui, Zi Huang, Hongzhi Yin
2023 J jnl
IEEE Trans. Syst. Man Cybern. Syst.
Xinglong Zhang, Wei Jiang, Shuyou Yu, Xin Xu, Zhizhong Li
2023 J jnl
Neural Comput. Appl.
Choujun Zhan, Wei Jiang, Hu Min, Ying Gao, C. K. Tse
2022 J jnl
Neural Comput. Appl.
Choujun Zhan, Wei Jiang, Fabing Lin, Shuntao Zhang, Bing Li
2022 A conf
IROS
Wei Jiang, Xinglong Zhang, Zhen Zuo, Meiping Shi, Shaojing Su
2021 conf
NCAA
Choujun Zhan, Wei Jiang, Qiaoling Zhen, Haoran Hu, Wei Yuan
2021 conf
NCAA
Wei Jiang, Yuxia Fu, Fabing Lin, Jing Liu, Choujun Zhan
2021 J jnl
Fuzzy Sets Syst.
Wei Jiang
2020 J jnl
Neural Comput. Appl.
Choujun Zhan, Fujian Wu, Zhenhua Huang, Wei Jiang, Qizhi Zhang
2020 C conf
INDIN
Wei Jiang, Songyan Li, Zefeng Xie, Wanling Chen, Choujun Zhan
2019 J jnl
CoRR
Xinglong Zhang, Wei Jiang, Zhizhong Li, Xin Xu
2019 Misc conf
ISKE
Jin Chai, Wei Jiang, Yuxia Fu, Choujun Zhan, Zhiwen Yu
2019 J jnl
CoRR
Xinglong Zhang, Wei Jiang, Zhizhong Li, Shengli Song
2019 J jnl
Eur. J. Control
Xinglong Zhang, Wei Jiang, Zhizhong Li, Shengli Song
2019 J jnl
IEEE Trans. Instrum. Meas.
Alessandro Ferrero, Roberto Ferrero, Wei Jiang, Simona Salicone
2018 J jnl
IEEE Access
Ranran Zhang, Xiaoyan Xiao, Zhi Liu, Wei Jiang, Jianwen Li, Yankun Cao, Jianmin Ren, Dongmei Jiang, Lizhen Cui
2017 J jnl
IEEE Trans. Instrum. Meas.
Wei Jiang, Alessandro Ferrero, Simona Salicone, Qi Zhang
2017 conf
I2MTC
Wei Jiang, Simona Salicone, Alessandro Ferrero, Roberto Ferrero, Qi Zhang
2015 conf
IFSA-EUSFLAT
Alessandro Ferrero, Marco Prioli, Simona Salicone, Wei Jiang
2011 Misc conf
ICNC
Zhi Liu, Hongjun Wang, Wei Jiang, Huawei Zhuang
tests/scripts/test_linking.py
← Index tests/scripts/test_linking.py python
#!/usr/bin/env python3
"""
Test script to verify the linking between decompiled and disassembled functions.
"""

import sys
import os
from pathlib import Path

# Add the redb directory to the path
sys.path.insert(0, str(Path(__file__).parent / "redb"))

from redb.extractors.decompiler.DecompileBinja import DecompileBinja
import logging

def test_linking():
    """Test that decompiled and disassembled functions are properly linked."""
    
    # Setup logging
    logging.basicConfig(level=logging.INFO)
    logger = logging.getLogger("test_linking")
    
    # Use a simple test binary (you'll need to provide a path to a test binary)
    test_binary = "test_files/hello"  # Adjust this path as needed
    
    if not os.path.exists(test_binary):
        print(f"Test binary not found: {test_binary}")
        print("Please provide a valid binary path for testing")
        return False
    
    try:
        # Create and run the extractor
        with DecompileBinja(test_binary, logger) as extractor:
            success = extractor.extract()
            
            if not success:
                print("Extraction failed")
                return False
            
            # Get the analysis results
            results = extractor.analysis_results
            
            if not results:
                print("No analysis results")
                return False
            
            print(f"Analysis completed successfully")
            print(f"Decompiled functions: {len(results['decompiled'])}")
            print(f"Disassembled functions: {len(results['disassembled'])}")
            
            # Test linking
            linking_issues = []
            linked_pairs = 0
            decompiled_only = 0
            disassembled_only = 0
            
            # Check decompiled functions have proper linking
            for decomp_func in results['decompiled']:
                decomp_hash = decomp_func.get('decompiled_function_hash')
                disasm_hash = decomp_func.get('disassembled_function_hash')
                
                if disasm_hash is None:
                    decompiled_only += 1
                    print(f"⚠️  Decompiled function {decomp_func.get('decompiled_function_name')} has no disassembled link (decompiled-only)")
                else:
                    linked_pairs += 1
                    print(f"✓ Decompiled function {decomp_func.get('decompiled_function_name')} linked to disassembled hash: {disasm_hash[:16]}...")
            
            # Check disassembled functions have proper linking
            for disasm_func in results['disassembled']:
                disasm_hash = disasm_func.get('disassembled_function_hash')
                decomp_hash = disasm_func.get('decompiled_function_hash')
                
                if decomp_hash is None:
                    disassembled_only += 1
                    print(f"⚠️  Disassembled function {disasm_func.get('disassembled_function_name')} has no decompiled link (disassembled-only)")
                else:
                    print(f"✓ Disassembled function {disasm_func.get('disassembled_function_name')} linked to decompiled hash: {decomp_hash[:16]}...")
            
            # Verify cross-references are consistent
            decompiled_hashes = {f['decompiled_function_hash']: f for f in results['decompiled']}
            disassembled_hashes = {f['disassembled_function_hash']: f for f in results['disassembled']}
            
            for decomp_func in results['decompiled']:
                decomp_hash = decomp_func.get('decompiled_function_hash')
                disasm_hash = decomp_func.get('disassembled_function_hash')
                
                if disasm_hash and disasm_hash in disassembled_hashes:
                    corresponding_disasm = disassembled_hashes[disasm_hash]
                    if corresponding_disasm.get('decompiled_function_hash') != decomp_hash:
                        linking_issues.append(f"Inconsistent linking: decompiled {decomp_hash[:16]}... -> disassembled {disasm_hash[:16]}... but reverse link doesn't match")
            
            # Summary
            print(f"\n📊 Linking Summary:")
            print(f"  - Linked function pairs: {linked_pairs}")
            print(f"  - Decompiled-only functions: {decompiled_only}")
            print(f"  - Disassembled-only functions: {disassembled_only}")
            print(f"  - Total functions processed: {len(results['decompiled']) + len(results['disassembled'])}")
            
            if linking_issues:
                print(f"\n❌ Linking issues found:")
                for issue in linking_issues:
                    print(f"  - {issue}")
                return False
            else:
                print(f"\n✅ All linking tests passed!")
                print(f"✅ Cross-references are consistent!")
                return True
                
    except Exception as e:
        print(f"Test failed with exception: {e}")
        return False

if __name__ == "__main__":
    success = test_linking()
    sys.exit(0 if success else 1)